Statistical Quality Control Basic Concepts Product Control Process Control Variations in Quality.

Slides:



Advertisements
Similar presentations
Quality control tools
Advertisements

Managerial Accounting: An Introduction To Concepts, Methods, And Uses
HABEEB HATTAB HABEEB Office: BN-Block, Level-3, Room Ext. No.: 7292 H/P No.:
BY AMAR P. NARKHEDE. INTRODUCTION All the items raw materials, bought out items,sub part, components are purchased from outside suppliers as well as those.
Total Quality Management Tools
© ABSL Power Solutions 2007 © STM Quality Limited STM Quality Limited STATISTICAL PROCESS CONTROL TOTAL QUALITY MANAGEMENT Introduction to S.P.C.
Copyright (c) 2009 John Wiley & Sons, Inc.
Chapter 10 Quality Control McGraw-Hill/Irwin
Total Quality Management
Tools of quality control A-Team. Basic tools of quality control  control chart  histogram  Pareto chart  check sheet  cause-and-effect diagram 
Chapter 8: Quality Management Project Quality Management
Balanced Scorecard: Quality, Time, and the Theory of Constraints
Statistical Process Control
Part Three TQM – The Tools and the Improvement Cycle
©2003 Prentice Hall Business Publishing, Cost Accounting 11/e, Horngren/Datar/Foster Quality, Time, and the Theory of Constraints Chapter 19 May.
1 Continuous Improvement. 2 1.Overview of the PDCA Problem Solving Cycle. 2.Foundations of the PDCA Cycle 3.Plan Step 4.Do Step 5.Check Step 6.Act Step.
TOTAL QUALITY MANAGEMENT (Continuous Quality Improvement)
Chapter 11 Quality Control.
ISHIKAWA’S BASIC SEVEN TOOLS OF QUALITY
General Ledger and Reporting System
Methods and Philosophy of Statistical Process Control
Copyright © 2003 Pearson Education Canada Inc. Slide Chapter 19 Cost Management: Quality, Time, and the Theory of Constraints.
Chapter 18 Optimizing and Controlling Processes through Statistical Process Control.
© 2012 Pearson Prentice Hall. All rights reserved. Balanced Scorecard: Quality, Time, and the Theory of Constraints.
9 - 1 ©2002 Prentice Hall Business Publishing, Introduction to Management Accounting 12/e, Horngren/Sundem/Stratton Chapter 9 Management Control Systems.
Process Management Process improvement (for Chronic problems) Process control (for Sporadic problems)
Quality Control McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
LO: To know how this is managed and controlled
1 Software Quality Engineering CS410 Class 5 Seven Basic Quality Tools.
Tools and Techniques for Performance Excellence
SIX-SIGMA QUALITY Chapter Understand total quality management. 2. Describe how quality is measured and be aware of the different dimensions of quality.
© 2012 Pearson Prentice Hall. All rights reserved. Balanced Scorecard: Quality and Time —modified by CB.
C ONTINUOUS Q UALITY I MPROVEMENT M ODEL The Deming cycle: Originally developed by Walter Shewart, but renamed in 1950s because Deming promoted it extensively.
© 2012 Pearson Prentice Hall. All rights reserved. Balanced Scorecard: Quality and Time —modified by CB.
Seven Quality Tools The Seven Tools –Histograms, Pareto Charts, Cause and Effect Diagrams, Run Charts, Scatter Diagrams, Flow Charts, Control Charts.
Measure : SPC Dedy Sugiarto.
Eng. Mgt 385 Statistical Process Control Stephen A. Raper Quality Management.
RCM Tools Histogram Pareto Chart Cause and Effect Diagram FMEA.
Project quality management. Introduction Project quality management includes the process required to ensure that the project satisfies the needs for which.
TQM Total Quality Management tools. Pareto Principle Most effects come from few causes. Most effects come from few causes. Pareto rule: 80% of the problems.
2 How to use the seven tools of quality Tools for identifying problems / collecting data Check sheets Scatter diagrams Statistical process control (SPC)
1 Project Management C53PM Session 3 Russell Taylor Staff Work-base – 1 st Floor
CHAPTER 7 STATISTICAL PROCESS CONTROL. THE CONCEPT The application of statistical techniques to determine whether the output of a process conforms to.
Seven Old Tools of Quality Management
1 Chapter 6 Quality Tools. 2 The Seven Basic Quality Tools. Flowcharts Check Sheets Histograms Pareto Analysis Scatter Diagrams Control Charts Cause-and-Effect.
1 Project Quality Management QA and QC Tools & Techniques Lec#10 Ghazala Amin.
M.Nuzaihan DMT 243 – Chapter 6 Quantitative Analysis The process of analyzing information and making decisions based on numerical data. Analyzes fundamental.
Quality Control All activities undertaken to control materials, processes and products in order to ensure quality of conformance Detects defects before.
Basic 7 Tools of Quality Presented by: Rajender Kumar, Asst. Prof.
In the name of Allah,the Most Beneficient, Presented by Nudrat Rehman Roll#
Quality Control Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
Section 5 Control Charts. 4 Control Chart Applications Establish state of statistical control Monitor a process and signal when it goes out of control.
9 - 1 Chapter 9 Management Control Systems and Responsibility Accounting.
Chapter 51Introduction to Statistical Quality Control, 7th Edition by Douglas C. Montgomery. Copyright (c) 2012 John Wiley & Sons, Inc.
Internal Process Model Monitor Role Competency: Managing Collective Performance.
Unit-3 Control chart Presented by N.vigneshwari. Today’s topic  Control chart.
Optimizing and controlling process through statistical process control Chapter 18 page 442 Doaa Abu Alwafa.
6 - 1© 2014 Pearson Education, Inc. Managing Quality PowerPoint presentation to accompany Heizer and Render Operations Management, Eleventh Edition Principles.
Balanced Scorecard: Quality, Time, and the Theory of Constraints
Statistical Quality Control, 7th Edition by Douglas C. Montgomery.
How to use SPC Before implementing SPC or any new quality system, the manufacturing process should be evaluated to determine the main areas of waste. Some.
Chapter 27 Cost Management for Just-in-Time Environments
Process Capability and Capability Index
Fundamentals of Statistical Process Control
Total Quality Management
ISO 9000 Series A set of international standards on quality management and quality assurance developed to help companies effectively document the quality.
Optimizing and controlling process through statistical process control
PROJECT QUALITY MANAGEMENT Teknik Elektro FT UNDIP
Chapter 11 Quality Control.
Part Three TQM – The Tools and the Improvement Cycle
Presentation transcript:

Statistical Quality Control Basic Concepts Product Control Process Control Variations in Quality

Basic Concepts When small samples are taken continuously on a regular basis, and the data analysed statistically, valuable information can be derived. Control charts forms an integral part of production process. Provides timely warning signal & for corrective action.

Basic Concepts The effectiveness of control charts depends on how promptly, the warning is understood and heeded and necessary action taken to correct the process. Helps manufacturer in identifying and eliminating causes for defectives or failures in repetitive production processes.

Statistical Process Control SPC is the primary analysis tool of quality improvement. It is the applied science that helps you collect, organize and interpret the wide variety of information available to your business.

Statistical Process Control - Aim  To Achieve Defect Prevention.  To Pursue Never-ending Improvement.  To Reduce Variability, Delivery Times, Completion Times, Methods, Attitudes, Equipment and Material.  To Produce Components Consistently within Specifications.  to give us Statistical Signal when Special causes of Variation are Present.

Process Control – Tools  Flow chart to understand what is being done.  Check sheets & tally charts to observe the frequency of occurrence of the process.  Graphs to see the pictorial representation of the numbers.  Cause and effect analysis to study the causes of the problems.

Process Control – Tools  Pareto analysis to segregate serious problems from the minor once.  Scatter diagrams to study the relationship between various interacting factors.  Control charts to interpret and decide which variations to control and go about.  Histograms to appreciate as to how the variations in frequency of occurrence appear.

Process Control - Advantages Greater consistency in fulfilling customer's requirements leads to greater customer satisfaction. Reduced variation in internal processes leads to less time and money spent on rework and waste.

Product Control  Product Control helps to ensure that the firm follows the proper regulatory and financial procedures with regard to the firm's business transactions, especially as they relate to issues of customer protection and the liquidity ratio of the firm. It must also reconcile the securities, commodities, futures and fixed income settlements, and monitor the financial and regulatory exposures associated with them, to further ensure the legitimacy of the transactions.

Product Control Reconciliation of P&L to traders estimates and attribution. Control analysis - posting to the ledger, accuracy of P&L. Balance sheet analysis. Internal management reporting. Price verification of all products.

Variations in Quality  Common cause of variation account for 80 – 90 percent of the observed variation in a production unit.  The remaining 10 – 20 percent results from special case of variation, often called assignable causes.  Special causes include bad batch of material purchased, poorly trained operator, excessive tool wear, miscalibration of measuring instrument etc.

Variations in Quality  Common cause of variation account for 80 – 90 percent of the observed variation in a production unit.  The remaining 10 – 20 percent results from special case of variation, often called assignable causes.  Special causes include bad batch of material purchased, poorly trained operator, excessive tool wear, miscalibration of measuring instrument etc.

Variations in Quality  Way to reduce the variation due to common causes is to change the technology of the process – the machines, materials, methods, or measuring systems.  Variation due to special cause can be identified through the use of charts.  Special cause of variations are identified by the production operators and their immediate super visors through charts and make the necessary correction.